Founder-led AI medical scribe priced for individual US clinicians.
The clearest-priced, fastest-to-onboard AI scribe in the US in 2026. Per-seat pricing in a category dominated by enterprise sales is the genuine differentiator.
Last verified: April 2026
Sweet spot: an individual US clinician — primary care, psychiatry, behavioural health, or a small specialty practice — who wants a working AI scribe by tomorrow on a personal credit card. Freed is the right answer; enterprise alternatives are not built for that buyer. Failure modes. Coding suggestions look authoritative — they are not. Treat them as draft, validate before submitting claims, and budget time to audit accuracy on your specific specialty mix. EHR write-back is the second pain point: if your health system has banned copy-paste workflows or requires deep bidirectional integration, Freed is the wrong fit and you need DAX or Suki. Third, scaling to a 50+ clinician group raises governance questions (admin, audit logs, RBAC) the product handles less elegantly than enterprise alternatives. What to pilot. Run Freed for one full clinic week as your only documentation tool. Track (a) minutes per note saved, (b) percent of generated notes you edit substantively, (c) coding-suggestion accuracy on a sample of 20 visits. If two of those three metrics clear your bar, the per-seat math works trivially against a typical specialty fee schedule; if not, the issue is usually template customisation — invest the time before walking away.
Freed is an AI medical scribe built specifically for the individual US clinician — not the health system. The pricing surprise of the category lives here: Starter at $39/month, Core at $79/month, Premier at $119/month (or $104/month billed annually). That tier structure is unusual in healthcare AI, where the rest of the market (DAX Copilot, Suki, Abridge) is sold as a six-figure health-system contract with months of procurement. Freed went the other direction and sells per-seat to working clinicians. The AI does the standard ambient-scribe job — capture the conversation, generate a structured note — but layers on visit preparation, ICD-10 and CPT coding suggestions, patient instructions, referral letters, and one-click EHR transfer. Higher tiers add a clinician AI assistant for decision support and the "Front Desk" AI receptionist for inbound patient communications. The product is HIPAA-compliant and SOC 2 Type II certified; recordings are not stored. Compared with DAX Copilot (Microsoft Nuance, sold to enterprise) and Suki (also enterprise-leaning, deeper Epic integration), Freed competes by being self-serve, fast to onboard, and priced for a single physician. The trade-off: Freed's EHR write-back is one-click paste / template insertion rather than the deep bidirectional integration the enterprise tools have spent years building. The company reports 26,000+ clinicians across 1,300+ clinics and claims 32 million patient visits transcribed in 2025 — credible numbers for a product that was a YC-style startup three years ago. Founder-led culture is a real differentiator: feature requests reach engineering quickly, and the team is publicly visible.
EHR write-back is paste-style rather than deep bidirectional — workable in Epic but not as smooth as DAX Copilot inside an Epic-standardised health system. Coding suggestions are decision-support, not authoritative — clinicians remain liable for billing accuracy. HITRUST certification is not yet held (SOC 2 Type II is the current bar) — some health systems will require HITRUST. Specialty terminology coverage is strong in primary care and behavioural health; surgical and high-acuity specialty notes still need clinician review. US-only — not built for international privacy regimes.
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